Introduction to Sentiment Sweep

Sentiment Sweep aims to captcha the mood of the internet, either
overall or towards a specific topic.
It does this by analysing real-time Twitter data, and calculating
how positive or negative each Tweet it.

A series of dynamic data visualisations are then used to
illustrate the results, and find trends between sentiment and
other factors such as time of day, location, topic, country, people etc

It's open sauce, and the code and documentation can be viewed
on GitHub

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Generate the latest results from fresh Twitter data by entering a topic,
person, location, brand or object
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Introduction to Sentiment Sweep

Sentiment Sweep aims to captcha the mood of the internet, either
overall or towards a specific topic.
It does this by analysing real-time Twitter data, and calculating
how positive or negative each Tweet it.

A series of dynamic data visualisations are then used to
illustrate the results, and find trends between sentiment and
other factors such as time of day, location, topic, country, people etc

It's open sauce, and the code and documentation can be viewed
on GitHub